Best Analytics Platforms for Small Business - Page 2

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 612

Category Stats (Nov 2026)

  • Average Rating: 4.52/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Publytics (+2.03%) - Among all products in this category, Publytics recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 30,100+ Authentic Reviews
  • 612+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Analytics Platforms

G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence

Highlighted products: Tableau, Microsoft Power BI, SAS Viya, Looker, Alteryx, GoodData.AI, Splunk Enterprise, and KNIME.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=sas-sas-viya&focus%5B%5D=looker&focus%5B%5D=alteryx&focus%5B%5D=gooddata-ai&focus%5B%5D=splunk-enterprise&focus%5B%5D=knime-analytics-platform&segment=small-business)

Deepnote

Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models. 🤖 Analyze with AI • Generate code and visualizations by describing your goal. • Auto-write, run, and debug code with AI. • Move faster with context-aware AI suggestions. 🔗 Unify • Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. • Combine Python and SQL in one notebook. • Build reusable ETL, analytics, and metric modules. • Create a semantic layer with shared definitions and trusted metrics. ⚖️ Scale • Instantly boost compute power, more included than Colab. • Schedule jobs and get notified with fresh results. • Organize work in projects and folders for team clarity. • Manage workflows via REST API. 🚀 Launch • Turn notebooks into dashboards or data apps, natively or with Streamlit. • Let users explore data with interactive inputs. • Share secure, live apps in one click.

Average Rating: 4.5/5.0

Total Reviews: 384

How Do G2 Users Rate Deepnote?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.7/10 (Category avg: 8.4/10)
  • Reports Interface: 8.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Deepnote?

  • Seller: Deepnote
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco , US
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Data Analyst
  • Top Industries: Computer Software, Higher Education
  • Company Size: 67% Small, 25% Medium

What Do G2 Reviewers Say About Deepnote?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in Deepnote, enabling seamless collaboration and quick setup for data projects.
  • Users value the collaboration features of Deepnote, enabling seamless teamwork and streamlined workflows on shared projects.
  • Users value the easy integrations of Deepnote, facilitating seamless collaboration and efficient data analysis across teams.
  • Users value the seamless team collaboration in Deepnote, enhancing productivity and streamlining workflows across analytics teams.
  • Users love Deepnote for its advanced data management features, enhancing collaboration and enabling in-depth analysis effortlessly.
Cons
  • Users experience slow performance with Deepnote, particularly with larger notebooks and running queries or reports.
  • Users find Deepnote's limited features hinder effective AI app development and overall usability improvements.
  • Users experience data management issues in Deepnote, struggling with context maintenance and visualizing table details effectively.
  • Users find missing features in Deepnote, such as lacking SQL queries and Git integration, hinder overall usability.
  • Users note a lack of features in Deepnote, particularly in project awareness and visualization tools.

What Are Recent G2 Reviews of Deepnote?

What Are G2 Users Discussing About Deepnote?

BlazeSQL

It is an AI-Native Self-Service BI Platform, centered around an AI Data Analyst chatbot that queries, analyzes and visualizes data from your SQL Database. It enables true self-service analytics by really understanding and learning about your company and Database, so it can reliably answer everyone's questions on demand. Unlike most tools that claim to do the same, BlazeSQL is not only reliable, but it provides intuitive tooling to provide the AI with context, explains its work to non-technical users so it's not a black box, and provides transparency for admins so they have visibility of all chats and can easily monitor accuracy. It helps non-technical people get insights independently, and technical people work faster. Results from the chat can effortlessly be added to dashboards, exported, saved for tracking, or shared. While Blaze can certainly return specific data or graphs on demand (ex. campaign performance), it can fully apply its intelligence and business understanding by taking a user's high level goals (ex. increasing Return on Ad spend) and autonomously conducting a comprehensive analysis to surface the right insights and make actionable suggestions. That way, it fully leverage's the capabilities of the world's most powerful AI models as they continue to become more and more capable. Advanced capabilities include autonomous agent monitoring & reporting, a slack integration, web research, and dynamic AI integrations with any API. Enterprise security features include Role Based Access Control, a desktop client with an "Offline-mode" that only sends metadata to the cloud but leaves query results completely local, SSO, 2FA, and strong encryption in transit and at-rest. Notable customers such as Yamaha have had success using BlazeSQL, and it continues to be successfully adopted by SMEs and Large enterprises alike. Various case studies and testimonials note results like a data team saving 1.5 days a week, data bottlenecks being eliminated so that business stakeholders are able to make data a daily part of their work and thinking, and teams starting to think more strategically and critically with their analysis to deliver real business impact and growth.

Average Rating: 4.4/5.0

Total Reviews: 134

How Do G2 Users Rate BlazeSQL?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.8/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind BlazeSQL?

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Accounting
  • Company Size: 62% Small, 28% Medium

What Do G2 Reviewers Say About BlazeSQL?

AI-generated summary from verified user reviews

Pros
  • Users value the efficiency of data analytics with BlazeSQL, enhancing exploration and empowering non-technical teams.
  • Users find BlazeSQL's ease of use invaluable, enabling quick data analysis and empowering non-technical users to self-serve.
  • Users appreciate the efficiency and ease of use of BlazeSQL, enabling faster data analysis and exploration.
  • Users value the flexibility of BlazeSQL, enabling quick data analysis and empowering non-technical users to explore insights.
  • Users highlight the easy integrations of BlazeSQL, enabling faster data analysis and empowering self-service for non-technical users.

What Are Recent G2 Reviews of BlazeSQL?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 206

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 35% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

Lightdash

Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams. Lightdash is used and trusted by companies of all sizes, from start ups to international publicly listed organisations.

Average Rating: 4.8/5.0

Total Reviews: 84

How Do G2 Users Rate Lightdash?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.8/10 (Category avg: 8.4/10)
  • Reports Interface: 9.5/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Lightdash?

  • Seller: Lightdash
  • Company Website:
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 63% Medium, 19% Small

What Are Recent G2 Reviews of Lightdash?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,078

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.5/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®
  • Ownership: NASDAQ: DOMO

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Domo, appreciating its intuitive interface and straightforward data integration capabilities.
  • Users love Domo for its intuitive data visualization, making it easy to create dashboards and extract insights efficiently.
  • Users find Domo extremely intuitive, enabling quick dashboard creation and seamless integration of diverse data sources.
  • Users value the easy integrations of Domo, allowing seamless connection to numerous data sources for insightful analytics.
  • Users praise Domo's seamless integrations, enabling easy connections to various data sources for effective analytics and monitoring.
Cons
  • Users find the steep learning curve of Domo challenging, impacting onboarding and productivity for some staff.
  • Users find it challenging to keep up with missing features and updates, necessitating dedicated resources for tracking.
  • Users face significant data management issues, finding it challenging to secure, clean, and efficiently manage datasets in Domo.
  • Users find Domo's pricing to be expensive and confusing, especially as usage and storage requirements increase.
  • Users find Domo's complexity challenging, citing issues in data management and a lack of support for troubleshooting.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Intelligence Center X AI Studio

Rapidminer AI Studio is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Rapidminer AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Rapidminer AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Rapidminer AI studio enables organizations to derive significant value from AI with minimal cost and operational impact.

Average Rating: 4.6/5.0

Total Reviews: 512

How Do G2 Users Rate Intelligence Center X AI Studio?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 10.0/10 (Category avg: 8.4/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Intelligence Center X AI Studio?

Who Uses This Product?

  • Who Uses This: Student, Professor
  • Top Industries: Higher Education, Education Management
  • Company Size: 41% Small, 31% Large

What Do G2 Reviewers Say About Intelligence Center X AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of Rapidminer AI Studio, enabling efficient machine learning without coding expertise.
  • Users value the user-friendly machine learning experience of Rapidminer AI Studio, enabling efficient model building without coding.
  • Users praise the seamless AI integration in Rapidminer AI Studio, enhancing efficiency and streamlining complex data processes.
  • Users value the advanced AI technology in Rapidminer AI Studio, enhancing decision making and streamlining data processes.
  • Users appreciate the automation features of Rapidminer AI Studio, significantly enhancing efficiency and productivity in AI workflows.
Cons
  • Users find the complexity of Rapidminer AI Studio challenging, especially with limited language support and steep learning curve.
  • Users report slow performance and freezing when handling large datasets, impacting their efficiency with the tool.
  • Users report slow performance when processing large datasets, leading to frustrating slowdowns and occasional freezing issues.
  • Users find the complexity issues of Rapidminer AI Studio hinder their understanding and support experience.
  • Users find the complex usage of Rapidminer AI Studio challenging, especially with a lack of Japanese support.

What Are Recent G2 Reviews of Intelligence Center X AI Studio?

What Are G2 Users Discussing About Intelligence Center X AI Studio?

HockeyStack

HockeyStack connects every data source across your go-to-market motion and turns scattered marketing and sales data into clear answers about what drives revenue, and the actions to double down on it. Key capabilities include: Odin (AI Analyst): Ask questions in plain English and get instant analysis, the reasoning behind the numbers, and recommended next steps, plus automated insights on your key metrics with no dashboards to build. Attribution Reporting: Out-of-the-box dashboard templates from day one, then custom no-code reports across 9 attribution models, showing the campaigns and channels driving pipeline from first impression to closed-won. Lift Reporting: Measure the true incremental impact of every campaign, so you know what actually caused revenue rather than what just appeared in the journey. Buyer Journeys: See every interaction in one time-stamped view from first touch to close, powered by cookieless tracking that captures the full journey. Account Intelligence & ABM/ABX: Identify anonymous visitors, build target lists with first- and third-party intent, run ads, and sync it all to your CRM, backed by best-in-class account and lead scoring. Achieve defensible attribution, more efficient growth, and confident budget decisions, without code or an analyst queue. Get started with HockeyStack today!

Average Rating: 4.4/5.0

Total Reviews: 82

How Do G2 Users Rate HockeyStack?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.1/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind HockeyStack?

  • Seller: HockeyStack
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    66 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 63% Medium, 33% Small

What Do G2 Reviewers Say About HockeyStack?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the flexibility and detailed insights of HockeyStack, enhancing their marketing campaign performance analysis.
  • Users value the flexible analytics of HockeyStack, which provides tailored insights for campaign performance and ROI.
  • Users highlight the ease of use of HockeyStack, praising its simple setup and seamless integrations for analytics.
  • Users commend HockeyStack's exceptional support team for their thorough and timely responses to all inquiries.
  • Users value the attribution accuracy of HockeyStack, enabling clear insights into marketing performance and effectiveness.
Cons
  • Users find the learning curve challenging, especially for beginners lacking experience with attribution tools.
  • Users note a steep learning curve with HockeyStack, but find it manageable with guidance and resources available.
  • Users find the complexity of HockeyStack can lead to a learning curve, but support is readily available.
  • Users note missing features in HockeyStack, hoping for enhancements to improve the reporting experience and functionality.
  • Users find the initial setup of HockeyStack to be quite time-consuming, requiring significant time and effort investment.

What Are Recent G2 Reviews of HockeyStack?

What Are G2 Users Discussing About HockeyStack?

Cube

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool. The data team's governed metric definitions stay intact while AI constructs ad-hoc calculations on top of them — so you get governance and flexibility at the same time, not one at the expense of the other. That's why teams like Brex chose Cube to power AI-driven analytics at production scale. With Cube, data teams can: Model metrics and business definitions once, in a SQL-first semantic layer, and serve them consistently to every downstream consumer — AI agents, BI, spreadsheets, and embedded apps. Let business users ask questions in natural language through Analytics Chat, with answers grounded in the governed model instead of guessed from raw tables. Bring analytics to where people already work — Slack, and any MCP-compatible agent like Claude or ChatGPT via the Cube MCP server. Embed analytics in customer-facing products with multi-tenancy, row-level security, and query performance under load — choosing from a chat API, drop-in iframes, embedded creator mode, or data APIs. Apply software engineering best practices to analytics: version control with Git, CI/CD, isolated environments, and pre-aggregation caching for fast queries and lower warehouse spend. Cube Core, the open-source semantic layer at its foundation, has years of production use across a large developer community — battle-tested infrastructure that commercial-only tools can't match. Cube sits on top of your cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks); it doesn't replace it.

Average Rating: 4.6/5.0

Total Reviews: 27

How Do G2 Users Rate Cube?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Cube?

  • Seller: Cube
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    53 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Small, 41% Medium

What Do G2 Reviewers Say About Cube?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with Cube, as it simplifies development and makes analytics integration straightforward.
  • Users appreciate the flexibility and customization of CubeJS, making it ideal for tailored embedded analytics solutions.
  • Users praise the powerful BI capabilities of Cube, enabling efficient data querying and aggregation for various applications.
  • Users appreciate the fast and proactive Customer Support of Cube, enhancing their overall experience significantly.
  • Users value the flexibility of CubeJS, enabling seamless integration and customization for diverse data applications.
Cons
  • Users note that Cube has several missing features, particularly regarding BI tool integration and flexibility in metric creation.
  • Users experience bugs and issues with pre-aggregations and documentation, complicating their overall experience with Cube.
  • Users find data integration challenging with Cube, noting difficulties in query aggregations and managing preaggregations.
  • Users find that Cube has limited features, lacking advanced tools and documentation for a comprehensive experience.
  • Users experience software bugs in Cube, with issues like confusing documentation and problems with pre-aggregations.

What Are Recent G2 Reviews of Cube?

Knowi

Knowi is the agentic analytics platform for teams whose data does not sit in one warehouse. Dashboards, AI agents, embedded analytics, and apps run in one place, on your data where it already lives, without any data movement. Knowi’s AI agents work inside the data layer, not as a chatbot on top of finished dashboards. They connect directly to schemas and the query engine, allowing teams to build queries, widgets, and dashboards from plain-English questions. What teams use Knowi for: 1. Unified data without ETL: Connect to any datasource- including SQL databases, MongoDB, Elasticsearch, Snowflake, Salesforce, and REST APIs, and join across them in a single query. 2. BI and dashboards: Build using a prompt or the visual builder, then share, schedule, and create alerts. 3. AI agents: Ask questions in plain English against a governed semantic layer controlled by the data team. 4. Embedded analytics: Add multi-tenant dashboards and widgets to your product with row-level access control. 5. Apps: Build operational apps on governed data where teams can see what is happening, understand why, and take action from one place. Knowi runs its own AI by default, with OpenAI and Claude available as optional integrations. It can be deployed in Knowi Cloud, your own VPC, on-premises, or in an air-gapped environment. Customers include Verizon, Telstra, Everbridge, and NJM Insurance.

Average Rating: 4.9/5.0

Total Reviews: 28

How Do G2 Users Rate Knowi?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 9.3/10 (Category avg: 8.4/10)
  • Reports Interface: 9.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Knowi?

  • Seller: Knowi
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Oakland, California
  • LinkedIn® Page: www.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 46% Small, 39% Medium

What Do G2 Reviewers Say About Knowi?

AI-generated summary from verified user reviews

Pros
  • Users commend Knowi's exceptional customer support, highlighting responsive teams and tailored guidance that ensure success.
  • Users praise Knowi for its exceptional support and seamless onboarding, which greatly enhances business growth and adaptability.
  • Users appreciate the exceptional AI-driven analytics capabilities of Knowi, streamlining their data integration and reporting processes.
  • Users value the automation capabilities of Knowi, streamlining processes and enhancing efficiency while reducing manual work.
  • Users appreciate the ease of use of Knowi, highlighting intuitive dashboarding and exceptional onboarding support that accelerates productivity.
Cons
  • Users find the learning curve for advanced features of Knowi challenging, needing more guidance for setup and queries.
  • Users feel there is a lack of guidance for API connections, making initial setup with Knowi time-consuming.
  • Users feel there is a lack of tutorials, making initial API setup with Knowi challenging and time-consuming.

What Are Recent G2 Reviews of Knowi?

SAP Analytics Cloud

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt.

Average Rating: 4.2/5.0

Total Reviews: 753

How Do G2 Users Rate SAP Analytics Cloud?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind SAP Analytics Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 48% Large, 28% Medium

What Do G2 Reviewers Say About SAP Analytics Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAP Analytics Cloud, facilitating smooth training and effective data management.
  • Users value the integrated data analysis capabilities of SAP Analytics Cloud for seamless reporting and real-time insights.
  • Users appreciate the clean and effective data visualizations in SAP Analytics Cloud that enhance storytelling and reporting.
  • Users value the easy integrations of SAP Analytics Cloud, enhancing data flow and streamlining dashboard creation across teams.
  • Users value the integrated platform of SAP Analytics Cloud, combining BI, planning, and predictive analytics seamlessly.
Cons
  • Users experience slow performance during uploads and when handling large datasets, affecting usability and efficiency.
  • Users find the learning curve steep for SAP Analytics Cloud, particularly for non-technical users needing extra training.
  • Users find the learning difficulty high for SAP Analytics Cloud, requiring technical knowledge and external support for setup.
  • Users often experience performance issues, particularly with slow load times and complexity when handling large datasets.
  • Users often face performance lags with large datasets, making their experience less efficient and frustrating.

What Are Recent G2 Reviews of SAP Analytics Cloud?

What Are G2 Users Discussing About SAP Analytics Cloud?

Sisense

Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence.

Average Rating: 4.2/5.0

Total Reviews: 1,003

How Do G2 Users Rate Sisense?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.8/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Sisense?

  • Seller: Sisense, Inc.
  • Company Website:
  • Year Founded: 2004
  • HQ Location: New York
  • LinkedIn® Page: www.linkedin.com
    534 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Product Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Medium, 24% Small

What Do G2 Reviewers Say About Sisense?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Sisense, thanks to its intuitive design and helpful documentation.
  • Users appreciate the data visualization capabilities of Sisense, creating clear and interactive dashboards from complex data sources.
  • Users value the seamless integrations in Sisense, enabling efficient data management and enhanced reporting capabilities.
  • Users commend the quick and helpful customer support of Sisense, enhancing their overall experience with the tool.
  • Users appreciate the dashboard customization in Sisense, enhancing their ability to create tailored and insightful visual presentations.
Cons
  • Users find a significant learning curve with Sisense, requiring time and training to achieve proficiency.
  • Users note missing features in Sisense, including limited transformation options and a lacking query builder.
  • Users report a massive security breach and poor support, requiring significant effort for issue resolution.
  • Users struggle with dashboard issues, finding the UI unhelpful and time-consuming for efficient data presentation.
  • Users find Sisense has limited customization, making it challenging for non-technical users to create tailored dashboards.

What Are Recent G2 Reviews of Sisense?

What Are G2 Users Discussing About Sisense?

datapine

datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution.

Average Rating: 4.6/5.0

Total Reviews: 26

How Do G2 Users Rate datapine?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 10.0/10 (Category avg: 8.4/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind datapine?

  • Seller: RIB Software
  • Year Founded: 1961
  • HQ Location: Stuttgart, DE
  • LinkedIn® Page: www.linkedin.com
    1,426 employees on LinkedIn®
  • Ownership: ETR:RIB

Who Uses This Product?

  • Company Size: 50% Medium, 42% Small

What Are Recent G2 Reviews of datapine?

Strategy One (formerly MicroStrategy ONE)

🚀 Strategy One – the AI+BI Platform for Enterprise Analytics at Scale What is Strategy One? Strategy One is the enterprise AI + BI platform that powers data-driven decision-making at scale. Built for complex enterprises, it unifies business intelligence, advanced analytics, and governed data modeling into a single, open platform. With native AI-powered workflows, pixel-perfect dashboards, modern self-service tools, and seamless integrations with Excel, Power BI, and Tableau, Strategy One delivers trusted insights wherever decisions are made. Why Strategy One? Unlike fragmented BI stacks or limited legacy tools, Strategy One provides an end-to-end platform with one trusted semantic core. Business users get governed self-service. Analysts get powerful modeling tools. Executives get real-time answers they can trust. And IT retains full control over data access, definitions, and lineage. Whether you’re creating executive dashboards, deploying embedded analytics, scaling AI copilots, or consolidating BI tools—Strategy One meets the moment with: ✅ Cloud-native architecture ✅ Open integrations with 200+ data sources ✅ Enterprise-grade security and governance ✅ Industry-leading performance and scale ✅ Built-in support for AI copilots, agents, and models Strategy One is trusted by global enterprises in banking, retail, healthcare, and government to turn data into decisions—fast, securely, and at scale.

Average Rating: 4.2/5.0

Total Reviews: 531

How Do G2 Users Rate Strategy One (formerly MicroStrategy ONE)?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.5/10 (Category avg: 8.4/10)
  • Reports Interface: 8.2/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Strategy One (formerly MicroStrategy ONE)?

Who Uses This Product?

  • Who Uses This: Business Intelligence Developer, Manager
  • Top Industries: Retail, Financial Services
  • Company Size: 62% Large, 29% Medium

What Do G2 Reviewers Say About Strategy One (formerly MicroStrategy ONE)?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use in Strategy One, appreciating its straightforward setup and quick data access.
  • Users commend the constant innovation of Strategy One, appreciating its AI enhancements and advanced dashboard capabilities.
  • Users find the initial setup easy, making it impressive compared to other BI tools like Tableau and Power BI.
  • Users appreciate the high customization options of Strategy One, allowing tailored reports and dashboards for better insights.
  • Users appreciate the flexible dashboard customization in Strategy One, enabling easy data management and insightful analysis.
Cons
  • Users highlight the learning difficulty with Strategy One, especially when integrating Microsoft Excel files into dashboards.
  • Users report a steep learning curve with Strategy One, making initial navigation and proficiency challenging.
  • Users note the missing features and integrations in Strategy One, particularly with Copilot compared to competitors.
  • Users find the complex usage of Strategy One overwhelming, leading to a steep learning curve and navigation challenges.
  • Users feel that access restrictions limit availability, requiring an enterprise version for full functionality and customization.

What Are Recent G2 Reviews of Strategy One (formerly MicroStrategy ONE)?

What Are G2 Users Discussing About Strategy One (formerly MicroStrategy ONE)?

Zoho Analytics

Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market.

Average Rating: 4.2/5.0

Total Reviews: 286

How Do G2 Users Rate Zoho Analytics?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.1/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Zoho Analytics?

  • Seller: Zoho
  • Year Founded: 1996
  • HQ Location: Austin, TX
  • LinkedIn® Page: www.linkedin.com
    30,913 employees on LinkedIn®
  • Phone: +1 (888) 900-9646

Who Uses This Product?

  • Who Uses This: Director, Business Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Small, 42% Medium

What Do G2 Reviewers Say About Zoho Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Zoho Analytics, thanks to its intuitive interface and customizable dashboards.
  • Users value the intuitive interface and customization of Zoho Analytics, enhancing their data reporting experience effortlessly.
  • Users appreciate the seamless integrations of Zoho Analytics, enabling easy data import from various external sources.
  • Users appreciate the user-friendly dashboards of Zoho Analytics, enabling easy customization and efficient data tracking.
  • Users appreciate the intuitive data visualization in Zoho Analytics, making complex analysis accessible and straightforward.
Cons
  • Users experience a steep learning curve with Zoho Analytics, especially for complex reports and advanced features.
  • Users find the limited customization options in Zoho Analytics frustrating compared to other platforms, like Google Analytics.
  • Users experience limited data integration options with Zoho Analytics, hindering seamless connectivity and overall functionality.
  • Users face integration issues with Zoho Analytics, limiting connections to external data sources and complicating functionality.
  • Users feel the missing features in Zoho Analytics limit functionality, especially for advanced data analysis tasks.

What Are Recent G2 Reviews of Zoho Analytics?

What Are G2 Users Discussing About Zoho Analytics?

Draxlr

Draxlr is an AI business intelligence and embedded analytics platform for SQL databases, used by teams from startups to enterprises like Comcast and Deel. Analysts, developers, product and operations teams use it for dashboards and alerts on live data, and SaaS companies use it to put analytics inside their own product. Technical and non-technical team members can both build dashboards: write SQL in the editor, use the drag-and-drop query builder, or ask a question in plain English and let the AI write the query. Dashboards run live queries against your database, so no data is copied. Teams also get alerts when critical metrics change, scheduled reports and secure shareable links for client reporting. AI assistants like Claude and ChatGPT can query your data through Draxlr's read-only MCP server. For customer-facing analytics, Draxlr embeds white-labeled dashboards with HTML, React, Vue or the backend API. From the Premium plan ($75/month), embeds include filters, drill-downs and other interactive features, with unlimited customer viewers and no per-viewer fees. On Power ($250/month) and above, row-level security keeps each customer to their own rows, and Full App Embedding gives every customer their own analytics workspace with dashboards, a query builder, a SQL editor and the AI assistant. For enterprise teams, Draxlr adds single sign-on through a connector built for your identity provider (using standards such as SAML 2.0 and OpenID Connect; Okta is already supported), audit logs and custom access levels. It runs in Draxlr cloud, on a dedicated server, or self-hosted in your own VPC or on-premise, where you can use an AI model your security team has approved. Draxlr connects to Postgres, MySQL, SQL Server, MariaDB, Supabase, Neon, CockroachDB, YugabyteDB, PlanetScale, Amazon Redshift, Google BigQuery, Snowflake, ClickHouse and Databricks.

Average Rating: 4.9/5.0

Total Reviews: 22

How Do G2 Users Rate Draxlr?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 9.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Draxlr?

  • Seller: Draxlr
  • Year Founded: 2016
  • HQ Location: Bengaluru, Karnataka, India
  • LinkedIn® Page: www.linkedin.com
    31 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 78% Small, 17% Large

What Do G2 Reviewers Say About Draxlr?

AI-generated summary from verified user reviews

Pros
  • Users find Draxlr's ease of use exceptional, enabling effortless dashboard creation and effective data visualization.
  • Users praise the responsive and helpful customer support of Draxlr, enhancing their overall experience with the tool.
  • Users love the intuitive charting features of Draxlr, making dashboard creation easy and flexible for everyone.
  • Users find the easy implementation and wide range of visualizations from Draxlr essential for business growth.
  • Users find Draxlr's setup ease remarkable, praising its intuitive interface and quick dashboard creation process.
Cons
  • Users find the learning curve for user management to be challenging, requiring time to adapt effectively.
  • Users wish for more customization options for polar and radar graphs in Draxlr to enhance their experience.

What Are Recent G2 Reviews of Draxlr?

Tian Lin
TL
Researched and written by Tian Lin
Updated October 9, 2026